Evaluation of analytical modeling for improvement of surface roughness of FDM test part using measurement results
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  • 作者:Sadegh Rahmati ; Ebrahim Vahabli
  • 关键词:Additive Manufacturing ; Surface Roughness ; Analytical Model
  • 刊名:The International Journal of Advanced Manufacturing Technology
  • 出版年:2015
  • 出版时间:July 2015
  • 年:2015
  • 卷:79
  • 期:5-8
  • 页码:823-829
  • 全文大小:1,099 KB
  • 参考文献:1.Tolio T, Ceglarek D, ElMaraghy HA, Fischer A, Hu SJ, Laperri猫re L, Newman ST, V谩ncza J (2010) SPECIES-Co-evolution of products, processes and production systems. CIRP Ann-Manuf Technol 59:672鈥?93View Article
    2.Rahmati S. (2014) 鈥淒irect Rapid Tooling, Comprehensive Materials Processing鈥? Masood S, ed.; ELSEVIER Ltd.; Vol. 10, 303-344. doi:10.鈥?016/鈥婤978-0-08-096532-1.鈥?1013-X
    3.Ahn D, Kweon J, Kwon S, Song J, Lee S (2009) Representation of surface roughness in fused deposition modeling. Elsevier, Journal of Materials Processing Technology, pp 5593鈥?600
    4.Onuh SO, Yusuf YY (1999) Rapid prototyping technology: applications and benefits for rapid product development. J Intell Manuf 10:301鈥?11View Article
    5.Upcraft S, Fletcher R (2003) The rapid prototyping technologies. Assem Autom 23(4):318鈥?30View Article
    6.Pandey PM, Reddy NV, Dhande SG (2003) Slicing procedures in layered manufacturing: a review. Rapid Prototyp J 9(5):274鈥?88View Article
    7.Nourghassemi A (2011) 鈥淪urface Roughness Estimation for FDM Systems鈥? MSc Thesis, Ryerson University, Canada
    8.Dolenc A, Makalea I (1994) Slicing procedures for layered manufacturing techniques. Comput Aided Des 26(2):119鈥?26View Article
    9.Campbell RI, Martorelli M, Lee HS (2002) Surface roughness visualization for rapid prototyping models. Comput Aided Des 34(10):717鈥?25View Article
    10.Mason A (2006) 鈥淢ulti-axis hybrid rapid prototyping using fusion deposition Modeling鈥? MSc Thesis, Ryerson University, Canada
    11.Thrimurthulu K, Pandey PM, Reddy N (2004) Optimum part deposition orientation in fused deposition modeling. Int J Mach Tools Manuf 44:585鈥?94View Article
    12.Pandey PM, Thrimurthulu K, Reddy NV (2004) 鈥淥ptimal part deposition orientation in FDM by using a multicriteria genetic algorithm鈥? Int J Prod Res. 42:4069-4089.
    13.Byun HS, Lee KH (2006) Determination of optimal build direction in rapid prototyping with variable slicing. Int J Adv Manuf Technol 28:307鈥?13View Article
    14.Ahn DK, Kwon SM, Lee SH (2008) Expression for surface roughness distribution of FDM processed parts. Int. Conf. on Smart Manufacturing Application, Korea, pp 490鈥?93
    15.Reeves PE, Cobb RC (1997) Reducing the surface deviation of stereolithography using in-process techniques. Rapid Prototyp J 3(1):20鈥?1View Article
  • 作者单位:Sadegh Rahmati (1)
    Ebrahim Vahabli (2)

    1. Department of Mechanical Engineering, Majlesi Branch, Islamic Azad University, Isfahan, Iran
    2. Department of Mechanical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
  • 刊物类别:Engineering
  • 刊物主题:Industrial and Production Engineering
    Production and Logistics
    Mechanical Engineering
    Computer-Aided Engineering and Design
  • 出版者:Springer London
  • ISSN:1433-3015
文摘
In additive manufacturing (AM) processes, the tessellation of CAD model and the slicing procedure are the significant factors resulting unsatisfactory surface quality, where the topics related to surface roughness have been a key issue in this regard. In this paper, analytical models which have been presented to express surface roughness distribution in fused deposition modeling (FDM) are assessed according to the variations in surface build angle by considering the main factors which crucially affect surface quality. Analytical models are verified by implementation and comparison with empirical data derived from the comprehensive FDM fabricated test part. Finally, the most accurate model for estimation of surface roughness in the process planning stage for optimization of effective parameters have been introduced upon calculating the mean absolute percentage error (MAPE) as performance criteria of each model in various equal ranges.
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